Programmer : Python + SQL Developer (Backend + Data Analytics) Role: We are looking for a versatile Python + SQL Developer who can work across both backend application development and data analytics workflows . You will build scalable APIs, automate data pipelines, and enable data-driven decision-making through analytical scripting and reporting. Key Responsibilities Develop and maintain backend systems and REST APIs using Python (Flask, FastAPI, or Django). Design and optimize relational databases (e.g., PostgreSQL, MySQL) for both application logic and analytics. Build and automate ETL workflows for internal data processing and reporting. Write complex SQL queries for data extraction, transformation, and aggregation. Generate analytical outputs, dashboards, and insights using Python (Pandas, Matplotlib/Plotly). Collaborate with cross-functional teams (Product, Ops, Data) to deliver data-backed features and reports. Expert in Pivot Tables in Excel Desired Candidate Profile Required Skills Proficiency in Python for backend and scripting tasks. Strong expertise in SQL and relational databases . Experience building APIs and backend services using Flask , FastAPI , or Django . Hands-on with Pandas , NumPy , and other analytics libraries. Hands on Pivot Table Ability to write reusable, well-structured code with good documentation. Experience with version control tools like Git . Job Benefits & Perks As per General IT industry Practices

Passion for applying AI and data-driven thinking to improve processes, enhance decision-making, and drive innovation. Role: Data Collection : Gather data from various sources, including databases, spreadsheets, and external datasets. Data Cleaning : Ensure data quality by identifying and correcting errors or inconsistencies in the data. Data Analysis : Analyze data using statistical methods to uncover trends, patterns, and insights. Reporting : Create reports and visualizations to present findings to stakeholders in a clear and actionable manner. Tool Development : Develop and maintain dashboards or tools that facilitate ongoing data analysis and reporting.. Responsibilities: 1.Data Management : Maintain databases and ensure data integrity. Develop data models to support analysis. 2.Statistical Analysis : Use statistical techniques to analyze data sets. 3.Visualization : Create visualizations (charts, graphs, etc.) to communicate findings effectively. Use tools like Looker for reporting. 4.Business Insights : Interpret data to provide actionable insights to improve business performance. Identify trends and make recommendations based on analysis. 5 Documentation : Document processes, methodologies, and findings to ensure transparency and reproducibility. Prepare user guides or training materials for tools developed. 6.Continuous Improvement : Stay updated on industry trends and best practices in data analysis. Seek opportunities to improve processes and tools for more effective data analysis. Desired Candidate Profile 3+ years of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data Analytics responsibilities and tasks. Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative. A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field or equivalent work experience is required. Experience in Fintech and/or Insurance industry will be a preferred Job Benefits & Perks As per General IT industry Practices